CN113920076A - VR module detection method and device - Google Patents

Abstract

The application relates to a VR module detection method and a device, relating to the field of optical detection, wherein the method comprises the following steps: displaying a preset detection sample by using a screen of the VR module to be detected; adjusting the orientation of the first image acquisition device and the VR module to be detected, so that the detection lens of the first image acquisition device is over against the left eye visual field central point or the right eye visual field central point of the VR lens of the VR module to be detected; shooting a screen through a VR (virtual reality) lens by using a first image acquisition device to obtain an image to be analyzed, wherein the image to be analyzed comprises a plurality of concentric circles which are arranged at intervals; and analyzing the display precision of the VR module to be detected based on the image to be analyzed. This application is based on predetermined image acquisition device, and the cooperation VR module simulation that awaits measuring obtains waiting to analyze the image, carries out the testing work of VR module, effectively avoids the error of subjective judgement, improves and detects the accuracy.

Description

A kind of VR module detection method and device

technical field

The present application relates to the field of optical detection, and in particular to a VR module detection method and device.

Background technique

With the improvement of life quality, VR technology is more and more applied to people's entertainment and life. VR glasses are used as the carrier of VR technology. The quality of VR glasses modules directly affects the customer's viewing experience. With the continuous pursuit of the display effect of VR glasses, the quality requirements of VR modules are getting higher and higher.

The existing VR module detection is mainly carried out manually, and the detection efficiency is low. The long-term detection fatigue of the same person or the difference in the detection standards of different personnel will affect the detection results of the VR module, resulting in large detection errors.

Therefore, a VR module detection technology is needed to meet the current detection requirements.

SUMMARY OF THE INVENTION

The present application provides a VR module detection method and device. Based on a preset image acquisition device, an image to be analyzed is obtained by cooperating with the VR module to be tested, and the detection of the VR module is carried out, which effectively avoids the error of subjective judgment and improves the detection performance. accuracy.

In a first aspect, the present application provides a method for detecting a VR module, the method comprising the following steps:

Use the screen of the VR module to be tested to display the preset test samples;

Adjust the orientation of the first image capture device and the VR module to be tested, so that the detection lens of the first image capture device is facing the center point of the left eye field of view or the right eye field of view of the VR lens of the VR module to be tested center point;

Using the first image acquisition device to shoot the screen through the VR lens to obtain an image to be analyzed including a plurality of spaced concentric circles;

Based on the image to be analyzed, the display accuracy of the VR module to be tested is analyzed.

Preferably, the same concentric circle of the detection sample includes at least two symmetrically distributed concentric arcs, and the pixel size of the image points on the concentric arcs changes according to a preset order;

The image points of the same pixel point size on the concentric arcs corresponding to different concentric circles are arranged at intervals in a straight line with the center of the circle as the center.

Specifically, based on the image to be analyzed, analyzing the display accuracy of the VR module to be tested includes the following steps:

obtaining the pixel size of each image point in the image to be analyzed;

Based on the pixel size corresponding to the image point with the smallest pixel size, the display accuracy of the VR module to be tested is determined.

Further, after the obtained image to be analyzed including a plurality of spaced concentric circles, the VR module detection method further includes the following steps:

Based on the to-be-analyzed image corresponding to the center point of the left eye field of view of the VR lens, calculate and obtain the left display field of view range corresponding to the center point of the left eye field of view of the VR lens;

Based on the image to be analyzed corresponding to the center point of the field of view of the right eye of the VR lens, calculate and obtain the right display field of view corresponding to the center point of the field of view of the right eye of the VR lens;

The maximum value of the left display field of view and the right display field of view is selected as the display field of view of the VR module to be tested.

Specifically, calculating and obtaining the left display field of view range corresponding to the center point of the left eye field of view of the VR lens based on the image to be analyzed corresponding to the center point of the left eye field of view of the VR lens includes the following steps:

Based on the number of the concentric circles in the to-be-analyzed image corresponding to the center point of the left eye field of view of the VR lens and the distance between the concentric circles, calculate and obtain the Analyze the width and length of the image;

Based on the width and length of the image to be analyzed corresponding to the center point of the visual field of the left eye, the left display visual field range is obtained by calculation.

Specifically, the adjusting the orientation of the first image acquisition device and the VR module to be tested includes the following steps:

The screen and the VR lens of the VR module to be tested are arranged on a preset stage, and the VR lens and the display surface of the screen are arranged at intervals;

Use the stage to move horizontally or rotate the screen and the VR lens synchronously in the vertical direction.

Preferably, the entrance pupil of the detection lens is located at the foremost end of the detection lens, and the field of view of the detection lens is within a range of ±70°.

In a second aspect, the present application provides a VR module detection device, the device comprising:

a first image acquisition device, the acquisition end of the first image acquisition device is configured with a detection lens;

A test sample output device, which is used to control the screen of the VR module to be tested to display a preset test sample; wherein,

The detection lens and the display surface of the screen are arranged at intervals;

The VR lens of the VR module to be tested is located in the interval area between the screen and the detection lens;

The first image acquisition device is configured to capture the image through the VR lens after adjusting the center point of the left eye field of view or the center point of the right eye field of view of the VR lens of the VR module to be tested. screen to obtain an image to be analyzed comprising a plurality of spaced apart concentric circles.

Specifically, the same concentric circle of the detection sample includes at least two symmetrically distributed concentric circular arcs, and the pixel size of the image points on the concentric circular arcs changes according to a preset order;

The image points of the same pixel point size on the concentric arcs corresponding to different concentric circles are arranged at intervals in a straight line with the center of the circle as the center.

Further, the VR module detection device also includes a carrier:

The stage is used for arranging the screen and the VR lens of the VR module to be tested, and the VR lens and the display surface of the screen are arranged at intervals;

The stage is also used for synchronizing horizontal movement or rotating the screen and the VR lens in a vertical direction.

The beneficial effects brought by the technical solution provided by this application include:

1. This application is based on a preset image acquisition device, cooperates with the VR module to be tested to perform VR display simulation, collects the image to be analyzed, and analyzes based on the image to be analyzed, so as to complete the detection of the VR module and effectively avoid subjective judgments. error and improve detection accuracy.

2. The application is simple in structure and convenient in operation, and the staff can adjust the detection field of view according to the actual situation, so as to meet different detection requirements for VR modules.

Description of drawings

Terminology Explanation:

AOI: Automated Optical Inspection, automatic optical inspection;

VR: Virtual Reality, virtual reality.

In order to illustrate the technical solutions in the embodiments of the present application more clearly, the following briefly introduces the drawings that are used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

FIG. 1 is a flow chart of the steps of the VR module detection method provided in the embodiment of the application;

FIG. 2 is a schematic diagram of the verification simulation of the detection field of view of the VR module detection method provided in the embodiment of the application;

3 is a schematic diagram of a simulation simulation of the detection accuracy verification of the VR module detection method provided in the embodiment of the application;

4 is a schematic diagram of the orientation of the VR module detection device provided in the embodiment of the application when it is in use;

In the picture:

1. Screen; 2. First image acquisition device; 3. Detection lens; 4. VR lens; 5. Stage; 6. Detection sample output device.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present application.

The embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The embodiments of the present application provide a method and device for detecting a VR module. Based on a preset image acquisition device, a VR display simulation is performed in conjunction with a VR module to be tested, an image to be analyzed is collected, and an analysis is performed based on the image to be analyzed, thereby completing VR. The detection work of the module can effectively avoid the error of subjective judgment and improve the detection accuracy.

In order to achieve the above-mentioned technical effect, the general idea of the application is as follows:

A VR module detection method, the method comprises the following steps:

S1. Use the screen 1 of the VR module to be tested to display a preset test sample;

S2. Adjust the orientation of the first image capture device 2 and the VR module to be tested, so that the detection lens 3 of the first image capture device 2 is facing the left eye field of view of the VR lens 4 of the VR module to be tested The center point or the center point of the right eye visual field;

S3, using the first image acquisition device 2 to shoot the screen 1 through the VR lens 4 to obtain an image to be analyzed including a plurality of spaced concentric circles;

S4. Based on the image to be analyzed, analyze the display accuracy of the VR module to be tested.

The embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

In the first aspect, referring to FIGS. 1 to 3 , an embodiment of the present application provides a method for detecting a VR module. The method includes the following steps:

S1. Use the screen 1 of the VR module to be tested to display a preset test sample;

S2. Adjust the orientation of the first image capture device 2 and the VR module to be tested, so that the detection lens 3 of the first image capture device 2 is facing the left eye field of view of the VR lens 4 of the VR module to be tested The center point or the center point of the right eye visual field;

S3, using the first image acquisition device 2 to shoot the screen 1 through the VR lens 4 to obtain an image to be analyzed including a plurality of spaced concentric circles;

S4. Based on the image to be analyzed, analyze the display accuracy of the VR module to be tested.

In addition, before step S1, the method further includes the following steps:

S0, arranging the first image acquisition device 2 with the detection lens 3 at the acquisition end, and the detection lens 3 faces the VR lens 4 of the VR module to be tested and the display surface of the screen 1 .

The embodiment of the present application belongs to the AOI technology. Based on a preset image acquisition device, the VR display simulation is performed in cooperation with the VR module to be tested, the image to be analyzed is collected, and the analysis is performed based on the image to be analyzed, thereby completing the detection of the VR module. Effectively avoid the error of subjective judgment and improve the detection accuracy.

When necessary, the image precision of the test sample can be adjusted;

Theoretically, based on the RGB image format, the minimum pixel of the image point of the inspection sample and the image to be analyzed can be one-third of the pixel point.

Specifically, the detection sample also includes a plurality of concentric circles arranged at intervals;

The same concentric circle of the detection sample includes at least two symmetrically distributed concentric circular arcs, and the pixel size of the image points on the concentric circular arcs changes according to a preset order;

The image points of the same pixel point size on the concentric arcs corresponding to different concentric circles are arranged at intervals in a straight line with the center of the circle as the center.

It should be noted that the arrangement form of the image points of the image to be analyzed is the same as the arrangement form of the image points of the detection sample;

The same concentric circle of the image to be analyzed includes at least two symmetrically distributed concentric circular arcs, and the pixel size of the image points on the concentric circular arcs changes according to a preset order;

The image points of the same pixel point size on the concentric arcs corresponding to different concentric circles are arranged at intervals in a straight line with the center of the circle as the center.

Wherein, the concentric circles in the image to be analyzed are composed of a plurality of image points, and the pixel size of the image points in the image to be analyzed corresponds to the display accuracy of the VR module to be tested.

When necessary, concentric circles of the images to be analyzed are arranged at equal intervals.

Specifically, based on the image to be analyzed, analyzing the display accuracy of the VR module to be tested includes the following steps:

obtaining the pixel size of each image point in the image to be analyzed;

Based on the pixel size corresponding to the image point with the smallest pixel size, the display accuracy of the VR module to be tested is determined.

The core of this step is to determine the display accuracy of the VR module to be tested according to the minimum value of the pixel size of the image points in the image to be analyzed.

Among them, the smallest image point in the image points of the image to be analyzed corresponds to the minimum value of the pixel point size, that is, it corresponds to the smallest pixel point size that can be displayed by the VR module to be tested, and can reflect the size of the VR module to be tested. The display performance can indicate the display accuracy of the VR module to be tested.

Further, after the obtained image to be analyzed including a plurality of spaced concentric circles, the VR module detection method further includes the following steps:

Based on the image to be analyzed corresponding to the center point of the left eye field of view of the VR lens 4, calculate and obtain the left display field of view range corresponding to the center point of the left eye field of the VR lens 4;

Based on the image to be analyzed corresponding to the center point of the field of view of the right eye of the VR lens 4, calculate and obtain the right display field of view corresponding to the center point of the field of view of the right eye of the VR lens 4;

The maximum value of the left display field of view and the right display field of view is selected as the display field of view of the VR module to be tested.

It should be noted that in the actual detection process, there may be some differences between the left display field of view and the right display field of view of the same VR module to be tested. In this case, the maximum value of the two needs to be selected as the VR module to be tested. The display field of view of the group.

In the embodiment of the present application, based on the simple detection structure, the operation is convenient, and the staff can adjust the detection field of view according to the actual situation, so as to meet different detection requirements for VR modules.

Therefore, based on the VR module detection technology, the staff can adjust the detection field of view according to the actual situation, so as to meet the different detection requirements for VR modules, which can be used for real-time online detection, improve the detection efficiency, and can also accurately verify the detection field of view. Accurately verify the detection accuracy of different fields of view. Compared with traditional technical means, it has the advantages of high detection accuracy and high accuracy.

Specifically, calculating and obtaining the left display field of view range corresponding to the center point of the left eye field of view of the VR lens 4 based on the image to be analyzed corresponding to the center point of the left eye field of view of the VR lens 4 includes the following steps:

Based on the number of the concentric circles in the image to be analyzed and the distance between the concentric circles corresponding to the center point of the left eye field of view of the VR lens 4, the the width and length of the image to be analyzed;

Based on the width and length of the image to be analyzed corresponding to the center point of the visual field of the left eye, the left display visual field range is obtained by calculation.

Taking the left display field of view as an example, first obtain the separation distance between concentric circles. Usually, the separation distance between concentric circles is set to the same value. If necessary, different separation distances can be set. The separation distance can be in pixels. as a unit;

And then according to the number of concentric circles, the width and length of the to-be-analyzed image can be calculated and obtained in combination with the separation distance, and the width and length can also be in units of pixels;

Furthermore, the width is multiplied by the length to obtain the corresponding left display field of view.

Likewise, the right display field of view is calculated in a similar way to the left display field of view.

Specifically, the adjustment of the orientation of the first image acquisition device 2 and the VR module to be tested includes the following steps:

The screen 1 and the VR lens 4 of the VR module to be tested are arranged on a preset stage 5, and the VR lens 4 and the display surface of the screen 1 are arranged at intervals;

The screen 1 and the VR lens 4 are synchronously moved horizontally or vertically rotated by the stage 5 .

Among them, synchronously moving horizontally or rotating the screen 1 and the VR lens 4 in the vertical direction, the specific operation can be horizontal movement or vertical rotation of the VR module to be tested, and the display of the VR module to be tested can be adjusted. to adjust the image to be analyzed.

Preferably, the entrance pupil point of the detection lens 3 is located at the foremost end of the detection lens 3, and the field angle range of the detection lens 3 is ±70°.

Specifically, the first image acquisition device 2 is an area array camera;

When in use, images in formats such as RGB can be obtained with an area scan camera.

In addition, this method has certain performance parameter requirements, such as:

When the detection lens 3 is used in conjunction with the VR lens 4, the image distortion ratio is less than 2%;

When necessary, the screen 1 , the capture end of the first image capture device 2 and the center line of the detection lens 3 are coincident.

Based on the technical solutions of the embodiments of the present application, in actual operation, the specific conditions are as follows:

As shown in Figure 2, Figure 2 is a schematic diagram of the verification simulation of the detection field of view corresponding to the screen 1 of the VR module to be tested and the VR lens 4, that is, the image to be analyzed corresponding to the center point of the field of view of the left eye;

In FIG. 2 , the centers of the concentric circles represent the center point of the left eye field of view of the VR lens 4 , and the intervals between each concentric circle are equal. The detection field of view can be verified by the above method by the number of concentric circles in FIG. 2 .

It should be noted that the center point of the visual field of the left eye is deviated relatively to the right, and the central point of the visual field of the right eye is relatively deviated to the left.

As shown in FIG. 3 of the accompanying drawings, FIG. 3 is a schematic diagram of the detection accuracy verification simulation corresponding to the VR lens 4 , that is, a detailed view of the image to be analyzed. Based on FIG. 3 , the display accuracy of the VR lens 4 can be clearly analyzed and obtained.

As shown in Figure 3, the image points on each concentric circle include 1*1, 1*2, 1*3, 1*4, 1*5, 2*2, 2*3, 2*4, 2*5 , 3*3, 3*4, 3*5, where,

1*1 means 1 pixel long, 1 pixel wide, and so on.

In Figure 3, as shown in the marked box, the size of the simulated defects on each line is the same, that is, a line composed of defects of the same size, and the defect is the interval between two pixels on each line. The size of the simulated defects is the same, that is, the interval between the two image points on each line is the same. According to Figure 3, the detection field of view can also be verified. Through Figure 3, it can not only verify the accuracy that the system can detect defects, but also verify the defects in different fields of view. detection accuracy.

During the actual inspection, you can set the accuracy picture according to your own needs. The accuracy setting is based on pixel points. The process of verifying the defect accuracy is the smallest defect size that can be collected from the innermost circle to the outermost circle. If the defect reaches 1*1 pixel, that is, an image point with a pixel size of 1*1 can be photographed, the defect accuracy is 1*1. For example, a defect of 1*2 pixels can be photographed at least To an image point with a pixel size of 1*2, the defect accuracy is 1*2, and the accuracy can be adjusted according to your own needs, and the actual verification is carried out through Figure 3.

In addition, the VR module detection device on which the VR module detection method is based includes:

a first image acquisition device 2, the acquisition end of the first image acquisition device 2 is configured with a detection lens 3;

A test sample output device 6, which is used to control the screen 1 of the VR module to be tested to display a preset test sample; wherein,

The detection lens 3 is spaced from the display surface of the screen 1;

The VR lens 4 of the VR module to be tested is located in the interval area between the screen 1 and the detection lens 3;

The first image acquisition device 2 is used for adjusting the center point of the left eye field of view or the center point of the right eye field of view of the detection lens 3 facing the VR lens 4 of the VR module to be tested, through the VR lens. 4. The screen 1 is photographed to obtain an image to be analyzed comprising a plurality of spaced apart concentric circles.

Further, the VR module detection device also includes a stage 5:

The stage 5 is used for arranging the screen 1 and the VR lens 4 of the VR module to be tested, and the VR lens 4 and the display surface of the screen 1 are arranged at intervals;

The stage 5 is also used to synchronously move horizontally or rotate the screen 1 and the VR lens 4 in the vertical direction.

In the second aspect, as shown in FIG. 4 , an embodiment of the present application provides a VR module detection device, which can perform the VR module detection method mentioned in the first aspect, and the device includes:

The first image acquisition device 2, the acquisition end of the first image acquisition device 2 is configured with a detection lens 3;

A test sample output device 6, which is used to control the screen 1 of the VR module to be tested to display a preset test sample; wherein,

The distance between the detection lens 3 and the display surface of the screen 1 is set;

The VR lens 4 of the VR module to be tested is located in the interval area between the screen 1 and the detection lens 3;

The first image acquisition device 2 is used to shoot the screen 1 through the VR lens 4 after adjusting the center point of the left eye field of view or the center point of the right eye field of view of the VR lens 4 of the VR module to be tested by the detection lens 3 to obtain multiple spaced concentric circles of images to be analyzed.

In the embodiment of the present application, based on the preset image acquisition device, the VR display simulation is performed in cooperation with the VR module to be tested, the image to be analyzed is collected, and the analysis is performed based on the image to be analyzed, so as to complete the detection of the VR module and effectively avoid subjective Judgment error, improve detection accuracy.

When necessary, the image precision of the test sample can be adjusted;

Theoretically, based on the RGB image format, the minimum pixel of the image point of the inspection sample and the image to be analyzed can be one-third of the pixel point.

Specifically, the detection sample also includes a plurality of concentric circles arranged at intervals;

The same concentric circle of the detection sample includes at least two symmetrically distributed concentric arcs, and the pixel size of the image points on the concentric arcs changes according to a preset order;

The image points of the same pixel point size on the concentric arcs corresponding to different concentric circles are arranged at intervals in a straight line with the center of the circle as the center.

It should be noted that the arrangement form of the image points of the image to be analyzed is the same as the arrangement form of the image points of the detection sample;

The same concentric circle of the image to be analyzed includes at least two symmetrically distributed concentric circular arcs, and the pixel size of the image points on the concentric circular arcs changes according to a preset order;

The image points of the same pixel point size on the concentric arcs corresponding to different concentric circles are arranged at intervals in a straight line with the center of the circle as the center.

Wherein, the concentric circles in the image to be analyzed are composed of a plurality of image points, and the pixel size of the image points in the image to be analyzed corresponds to the display accuracy of the VR module to be tested;

The smallest image point in the image points of the image to be analyzed corresponds to the minimum value of the pixel point size, that is, it corresponds to the smallest pixel point size that can be displayed by the VR module to be tested, which can reflect the display performance of the VR module to be tested. , which can indicate the display accuracy of the VR module to be tested.

When necessary, concentric circles of the images to be analyzed are arranged at equal intervals.

Further, the VR module detection device also includes a carrier 5:

The stage 5 is used for arranging the screen 1 and the VR lens 4 of the VR module to be tested, and the VR lens 4 and the display surface of the screen 1 are arranged at intervals;

The stage 5 is also used to synchronously move horizontally or rotate the screen 1 and the VR lens 4 in the vertical direction.

Among them, synchronously moving the screen 1 and the VR lens 4 around the vertical direction, that is, moving the VR module to be tested horizontally or rotating the VR module around the vertical direction, can adjust the display of the VR module to be tested, so as to adjust the VR module to be tested. Analyze images.

It should be noted that, in the actual detection process, the left display field of view and the right display field of view of the same VR module may be different to some extent, so the screen 1 and the VR lens 4 can be moved to detect respectively The left display field of view and the right display field of view of the VR module to be tested are obtained, and the maximum value of the two can be selected as the display field of view of the VR module to be tested.

In the embodiment of the present application, based on the simple detection structure, the operation is convenient, and the staff can adjust the detection field of view according to the actual situation, so as to meet different detection requirements for VR modules.

Therefore, based on the VR module detection technology, the staff can adjust the detection field of view according to the actual situation, so as to meet the different detection requirements for VR modules, which can be used for real-time online detection, improve the detection efficiency, and can also accurately verify the detection field of view. Accurately verify the detection accuracy of different fields of view. Compared with traditional technical means, it has the advantages of high detection accuracy and high accuracy.

Preferably, the entrance pupil point of the detection lens 3 is located at the foremost end of the detection lens 3, and the field angle range of the detection lens 3 is ±70°.

Specifically, the first image acquisition device 2 is an area array camera;

In use, images in formats such as RGB can be obtained with an area scan camera.

In addition, this method has certain performance parameter requirements, such as:

When the detection lens 3 is used in conjunction with the VR lens 4, the image distortion ratio is less than 2%;

When necessary, the screen 1 , the capture end of the first image capture device 2 and the center line of the detection lens 3 are coincident.

It should be noted that in this application, relational terms such as "first" and "second" etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that Any such actual relationship or sequence exists between these entities or operations. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion such that a process, method, article or device comprising a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article, or device that includes the element.

The above are only specific embodiments of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, this application is not intended to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims (10)

1. a VR module detection method, is characterized in that, described method comprises the following steps: Use the screen (1) of the VR module to be tested to display the preset test samples; Adjust the orientation of the first image capture device (2) and the VR module to be tested, so that the detection lens (3) of the first image capture device (2) is facing the VR lens (3) of the VR module to be tested. 4) The center point of the visual field of the left eye or the center point of the visual field of the right eye; Utilize the first image acquisition device (2) to photograph the screen (1) through the VR lens (4) to obtain an image to be analyzed comprising a plurality of spaced concentric circles; Based on the image to be analyzed, the display accuracy of the VR module to be tested is analyzed. 2. VR module detection method as claimed in claim 1, is characterized in that: The same concentric circle of the detection sample includes at least two symmetrically distributed concentric arcs, and the pixel size of the image points on the concentric arcs changes according to a preset order; The image points of the same pixel point size on the concentric arcs corresponding to different concentric circles are arranged at intervals in a straight line with the center of the circle as the center. 3. VR module detection method as claimed in claim 1, is characterized in that, based on described image to be analyzed, in analyzing the display accuracy of described VR module to be measured, comprises the following steps: obtaining the pixel size of each image point in the image to be analyzed; Based on the pixel size corresponding to the image point with the smallest pixel size, the display accuracy of the VR module to be tested is determined. 4. The method for detecting a VR module according to claim 1, wherein after obtaining the image to be analyzed comprising a plurality of spaced concentric circles, the method further comprises the following steps: Based on the image to be analyzed corresponding to the center point of the left eye field of view of the VR lens (4), calculate and obtain the left display field of view range corresponding to the center point of the left eye field of view of the VR lens (4); Based on the image to be analyzed corresponding to the center point of the field of view of the right eye of the VR lens (4), the right display field of view corresponding to the center point of the field of view of the right eye of the VR lens (4) is obtained by calculation; The maximum value of the left display field of view and the right display field of view is selected as the display field of view of the VR module to be tested. 5. The VR module detection method according to claim 4, characterized in that, based on the image to be analyzed corresponding to the center point of the left eye field of view of the VR lens (4), the VR lens (4) is calculated to obtain the image to be analyzed. 4) In the left display field of view corresponding to the center point of the left eye field of view, the following steps are included: Based on the number of the concentric circles in the to-be-analyzed image corresponding to the center point of the left eye field of view of the VR lens (4) and the distance between the concentric circles, calculate and obtain the number of concentric circles corresponding to the center point of the left eye field of view the width and length of the image to be analyzed; Based on the width and length of the image to be analyzed corresponding to the center point of the visual field of the left eye, the left display visual field range is obtained by calculation. 6. VR module detection method as claimed in claim 1, is characterized in that, in adjusting the orientation of described first image acquisition device (2) and described VR module to be measured, comprises the following steps: The screen (1) and the VR lens (4) of the VR module to be tested are set on a preset stage (5), and the VR lens (4) and the screen (1) The display surface interval setting of ; The screen (1) and the VR lens (4) are synchronously moved horizontally or rotated around the vertical direction by using the stage (5). 7. VR module detection method as claimed in claim 1, is characterized in that: The pupil entrance point of the detection lens (3) is located at the front end of the detection lens (3), and the field of view of the detection lens (3) is within a range of ±70°. 8. A VR module detection device, wherein the device comprises: a first image acquisition device (2), the acquisition end of the first image acquisition device (2) is provided with a detection lens (3); A detection sample output device (6), which is used to control the screen (1) of the VR module to be tested to display a preset detection sample; wherein, The detection lens (3) is arranged at intervals from the display surface of the screen (1); The VR lens (4) of the VR module to be tested is located in an interval area between the screen (1) and the detection lens (3); The first image acquisition device (2) is configured to, after adjusting the center point of the left eye field of view or the center point of the right eye field of view of the detection lens (3) facing the VR lens (4) of the VR module to be tested, The screen (1) is photographed through the VR lens (4) to obtain an image to be analyzed comprising a plurality of spaced apart concentric circles. 9. VR module detection device as claimed in claim 8, is characterized in that: The same concentric circle of the detection sample includes at least two symmetrically distributed concentric arcs, and the pixel size of the image points on the concentric arcs changes according to a preset order; The image points of the same pixel point size on the concentric arcs corresponding to different concentric circles are arranged at intervals in a straight line with the center of the circle as the center. 10. The VR module detection device according to claim 8, wherein the device further comprises a carrier (5): The stage (5) is used for arranging the screen (1) and the VR lens (4) of the VR module to be tested, and the display of the VR lens (4) and the screen (1) face interval setting; The stage (5) is also used for synchronizing horizontal movement or rotating the screen (1) and the VR lens (4) around the vertical direction.

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